เงื่อนไขการค้นหา

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Research and select quality products in stores.
• Making sales forecasts and budgeting, and presenting to senior managers for Products range.
• Process requisitions and update management on the status of orders.
• Working closely with visual display staff and department heads to decide how goods should be displayed to maximize sales.
• Monitoring slow sellers and taking actions on activities, as necessary.
• Gathering information on customers' reactions to products.
• Analyze the market situation and apply this knowledge to suggest insightful buying decisions.
• Achieved minimum GPA of 2.70 for Bachelor's degree and 3.30 for Master's degree.
• TOEIC at least 550/IELTS at least 4.0/TOEFL at least 31/BULATS at least 40.
• Minimum 3 - 5 years working experience in Marketing planning and analysis.
• Communicable in English, computer literacy (MS Office).
• Good analytical thinking and presentation skills.
• Strong communication and interpersonal skills.
• Able to work aboard or upcountry occasionally.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Analyze business requirements and create functional specifications.
• Coordinate with developers, architectures, product owner, business analyst, vendors and related teams.
• Validates results by testing programs.
• Suggest and help to guide team for technical skills.
• Good command in English with minimum TOEIC score at 550.
• 3-5 years of experience working with system analysis is a must.
• Strong problem-solving, and excellent analytical skills combined with an ability to communicate with business and technical teams.
• Be able to use these following programs Google cloud platform.
• draw.io.
• postman.
• SQL client.
• ติดต่อ: Weerapon โอ๊ต Pliasanthia.
• อีเมล์: [email protected]
• โทรศัพท์:

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Full Stack Application Development on Cloud Automation System, Web Application (Backend and Frontend).
• Design, development, implement, testing and support software application.
• Including in Design, development, implement, testing and support software application.
• Prepare technical documentation as required for the project such as Program Specification, Unit Test Script document etc.
• Minimum of 3 years of experience in system development.
• Good understanding in Software Development Life Cycle.
• Knowledge of Golang (GIN), RESTful API.
• Knowledge of MVC style web frameworks e.g. Laravel.
• Familiarity with modern Web application library/framework/tools, e.g. Vue, React, Angular, Express, Webpack, Typescript.
• Knowledge in database systems and NoSQL databases.
• Knowledge of Distributed Version Control Software (git).
• Experiences in Linux server.
• Recruiter Kanchisar Dunmai (กัญญ์ชิสา ดันไหม)

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• To operate MD Provisioning Service and BSS Application (Network Interface) for ensuring its performance.
• To develop a configuration to the MD Provisioning according to and BSS Application (Network Interface) to the changing requirement of the interface.
• To Analyst of the root cause of the incidents, and propose process improvement.
• To monitor information transactions to ensure compliance with the security policy and standard.
• Bachelor's Degree in Computer Engineering, Computer Science, IT or related field.
• 0 - 4 years' experience in Application Programming.
• Skills in PL/SQL, C Programming, Shell script, Database Concept, DevOps, Java programming, and Linux.
• Recruiter Sunisa Bunsalee (สุนิสา บุญสาลี), Tarin Jantarajaturong (ธาริน จันทรจตุรงค์)

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

System Administration, Software Development, English

ประเภทงาน:

งานประจำ

เงินเดือน:

฿20,000 - ฿30,000, สามารถต่อรองได้

• วุฒิปริญญาตรีขึ้นไป สาขา Computer Science, Computer Engineering หรือสาขาที่เกี่ยวข้อง.
• มีประสบการณ์ในการทำงานด้าน System Analysis, Design and Development อย่างน้อย 5 ปี.
• มีประสบการณ์ในการทำงานกับทั้งภาครัฐ และเอกชน.
• มีความรู้ความเข้าใจเกี่ยวกับขั้นตอน และวิธีการพัฒนาระบบ โดยสามารถนำไปประยุกต์ใช้กับงานที่ได้รับมอบหมายอย่างมีประสิทธิภาพ.
• สามารถศึกษา และพัฒนาความรู้ความสามารถได้ด้วยตนเอง หรือเข้ารับการอบรมตามที่บริษัทกำหนด.
• สามารถเดินทางไปปฏิบัติงานนอกสถานที่ได้.
• ทำการวิเคราะห์ความต้องการของลูกค้า และจัดทำเอกสารที่เกี่ยวข้อง.
• ทำการออกแบบฐานข้อมูลเพื่อให้รองรับกับความต้องการระบบของลูกค้า และจัดทำเอกสารที่เกี่ยวข้อง.
• ทำเอกสารอธิบายคุณสมบัติของระบบที่วิเคราะห์และออกแบบ เพื่อส่งงานให้ทีมพัฒนาระบบทำตามความต้องการได้ถูกต้อง.
• ทำการทดสอบระบบร่วมกับทีมทดสอบระบบเพื่อให้เป็นไปตามที่วิเคราะห์และออกแบบ รวมถึงการทดสอบระบบเพื่อส่งมอบงานให้ตรงตามความต้องการของลูกค้า.
• ทำการอบรมการใช้งานระบบแก่ทีมดูแลลูกค้า และลูกค้า เพื่อให้สามารถใช้งานระบบได้อย่างมีประสิทธิภาพ.
• ทำการประสานงานทั้งภายใน และภายนอกองค์กร เพื่อความสำเร็จของงานที่ได้รับมอบหมาย.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• ทำงานสัปดาห์ละ 5 วัน.
• มีเวลาการทำงานที่ยืดหยุ่น.
• ประกันชีวิต.
• ประกันสุขภาพ.
• เงินโบนัสตามผลงาน.
• ค่าทำงานล่วงเวลา.
• ค่าใช้จ่ายในการเดินทาง.
• ประกันสังคม.
• ตามข้อตกลงของบริษัท.
• ค่าเดินทางวันละ 30 บาท สนใจตำแหน่งงานนี้กรุณาติดต่อ ชื่อผู้ติดต่อ: ศรวณีย์ ภู่ภูมิรัตน์ (มีน) เบอร์ผู้ติดต่อ: 02 7145400 Ext.1105 อีเมล: [email protected] วิธีการรับ รับผ่านทาง JOBBKK.COM

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• The Pricing Analyst II will be the primary contact for pricing systems and tools used within the business and product lines. In this role, you will utilize comprehensive knowledge of best pricing practices and procedures to optimize value for multiple products or sites and create moderately complex analysis of the data. You will serve as the primary owner of all published location, regional, and national pricelists for assigned products, and product lines. Key Accountabilities
• Perform pricing process management including new product pricing evaluation, set up, ...
• Collaborate with internal teams to align pricing strategy, profitability goals and expectations and provide data and pricing experience to answer questions, resolve pricing discrepancies, and create individual market approaches as needed.
• Coordinate the new and current Stock Keeping Unit (SKU) pricing position by collecting and interpreting competitive pricing intel to align with the go-to-market pricing strategy, and work to ensure profitability alignment.
• Update, maintain, evaluate and distribute price lists.
• Analyze current trend and performance data and provide recommendations for pricing strategy improvements.
• Independently solve moderately complex issues with minimal supervision, while escalating more complex issues to appropriate staff.
• Other duties as assigned Qualifications
• Minimum Qualifications
• Bachelor's degree in a related field or equivalent experience
• Ability to interpret and work with data to provide analysis
• Minimum of two years of related work experience
• Other minimum qualifications may apply Preferred Qualifications
• Master's degree or other post-secondary degree
• Experience with current analysis software
• Previous pricing experience

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Interview client stakeholders to gather and write business requirements for large-scale digital projects like website redesigns, innovative mobile applications.
• Formulate solutions that meet the client's requirements and scope.
• Create and maintain requirements documentation for digital projects and programs.
• Create and maintain requirements documentation for digital projects and programs.
• Partner with creative teams on new business assignments to confidently present and prototype new ideas.
• Keep an active finger on the "pulse" of the market, communicating external client and evolving market needs to internal stakeholders.
• Build and maintain a strong knowledge of digital solutions and technologies and educate and inform clients of new offerings or opportunities.
• Familiar with agile. Can write explicit user stories with acceptance criteria.
• Work with QA teams during SIT and UAT to do testing, resolve issues, help triage and prioritize defects.
• Can run a workshop with mid level clients.
• Can document process flows (L0 to L5) using a process flow tool or MS Visio or Powerpoint.
• Required Technical and Professional Expertise Bachelor's Degree in Computer Science, Computer Engineering or related field.
• Has financial services knowledge and acumen ideally one of retail banking, insurance, wealth management or credit.
• Displays proven knowledge and expertise in the digital space.
• High attention to detail and always ready to push the limits.
• 3+ years of relevant industry experience including previous experience in a technical role and familiarity with programming, front-end coding, UX and software development at an enterprise level.
• Preferred Technical and Professional Expertise
• As stated above.
• About Business UnitIBM Services is a team of business, strategy and technology consultants that design, build, and run foundational systems and services that is the backbone of the world's economy. IBM Services partners with the world's leading companies in over 170 countries to build smarter businesses by reimagining and reinventing through technology, with its outcome-focused methodologies, industry-leading portfolio and world class research and operations expertise leading to results-driven innovation and enduring excellence.
• Your Life @ IBMAre you craving to learn more? Prepared to solve some of the world's most unique challenges? And ready to shape the future for millions of people? If so, then it's time to join us, express your individuality, unleash your curiosity and discover new possibilities.
• Every IBMer, and potential ones like yourself, has a voice, carves their own path, and uses their expertise to help co-create and add to our story. Together, we have the power to make meaningful change - to alter the fabric of our clients, of society and IBM itself, to create a truly positive impact and make the world work better for everyone.
• It's time to define your career.
• About IBMIBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
• Location StatementFor additional information about location requirements, please discuss with the recruiter following submission of your application.
• Being You @ IBMIBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Apply your expertise in quantitative analysis, data mining, and the presentation of data to identify opportunities for business improvements and support your recommendations.
• Own end-to-end project or roll out new experiments to validate in-market impact of an initiative within Partner Development.
• Build dashboards, identify new and track key metrics to closely monitor team's performance and identify quick and long term opportunities for improvements.
• Work closely with cross-functional teams of analysts, regional team leads, product managers and business owners to drive changes based on opportunities identified.
• Support global Partner Development related initiatives, including experimentation infrastructure-building and methodology standardization.
• What you'll need to succeed.
• Bachelor's degree in science, computer science, statistics, economics, mathematics, or similar quantitative discipline.
• 3-8 years experience working in a business analysis, data analysis, reporting or business strategy role.
• Excellent problem-solving skills including the ability to analyze and resolve complex problems using data.
• Team player with strong interpersonal, relationship-building, and stakeholder management skills.
• Coding skills for analytics and data manipulation (SQL, R, Python, Pandas, Scala).
• Data visualization tool experience such as with Tableau or your weapon of choice.
• Ability to work under pressure in a fast-paced and rapidly changing environment.
• Excellent communication skills (both verbal and written in English), with proven ability to convey complex messages clearly and with conviction.
• STRA #ANLS #MRKT #3 #LI-TR2 #hongkong #singapore #hcmc #kualalumpur #mumbai #newdelhi #delhi #bangalore #hochiminh #singapore #manila #hongkong #beijing #toronto #vancouver #berlin #paris #barcelona #london #madrid #hyderabad data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
• Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
• What you'll Need to Succeed:
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, statistics or science).
• Ability to communicate fluently in English.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL, Tableau.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity and analytical skills.
• It's Great if you Have:
• Experience in digital marketing.
• Academic research experience.
• STRA #ANLS #MRKT #3 #LI-TR2 #hongkong #singapore #hcmc #kualalumpur #mumbai #newdelhi #delhi #bangalore #hochiminh #singapore #manila #hongkong #beijing #toronto #vancouver #berlin #paris #barcelona #london #madrid #hyderabad data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
• Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
• What you'll Need to Succeed:
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, or science).
• Ability to communicate fluently in English.
• 2+ years' experience in top-tier management consulting, investment banking, private equity, or strategy/business operations for a fast-growing globally operating tech company.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity.
• It's Great if you Have:
• Experience in digital marketing.
• Academic research experience.
• STRA #ANLS #MRKT #3 #LI-TR2 #hongkong #singapore #hcmc #kualalumpur #mumbai #newdelhi #delhi #bangalore #hochiminh #jakarta #manila #hongkong #beijing #toronto #vancouver #berlin #paris #barcelona #london #madrid #bangkok data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
• Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
• What you'll Need to Succeed:
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, or science).
• Ability to communicate fluently in English.
• 2+ years' experience in top-tier management consulting, investment banking, private equity, or strategy/business operations for a fast-growing globally operating tech company.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity.
• It's Great if you Have:
• Experience in digital marketing.
• Academic research experience.
• STRA #ANLS #MRKT #3 #LI-TR2 #hongkong #singapore #hcmc #kualalumpur #mumbai #newdelhi #delhi #bangalore #hochiminh #jakarta #manila #hongkong #beijing #toronto #vancouver #berlin #paris #barcelona #london #madrid #bangkok data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
• Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
• What you'll Need to Succeed:
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, or science).
• Ability to communicate fluently in English.
• 2+ years' experience in top-tier management consulting, investment banking, private equity, or strategy/business operations for a fast-growing globally operating tech company.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity.
• It's Great if you Have:
• Experience in digital marketing.
• Academic research experience.
• STRA #ANLS #MRKT #3 #LI-TR2 #hongkong #singapore #hcmc #kualalumpur #mumbai #newdelhi #delhi #bangalore #hochiminh #jakarta #manila #hongkong #beijing #toronto #vancouver #berlin #paris #barcelona #london #madrid #bangkok data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Work with multiple petabyte-level datasets and explore the possibilities of BI and analytics.
• Get a better understanding of complex data structures and advanced analytics.
• Gain exposure to business stakeholders and understand how analytics can inform and transform the business.
• Build cool stuff.
• What you'll Need to Succeed:
• A hacker's mindset - the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping.
• Bachelor's degree in Quantitative (i.e. Statistics, Mathematics, Engineering, or Economics).
• Experience in big data cleaning and wrangling as well as simple analytical processing (SQL is a plus).
• It's Great if you have:
• Experience with complex analytics and statistical/machine learning techniques using R/Python.
• students #LI-VV1.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Performance tracking and modeling: Analyze data generated by supply and supply teams, develop models we can use for performance tracking and optimization, draw recommendations on your analysis.
• Support and participation in projects: Provide input on initiatives to reach business targets of the strategic projects you will be working on, run and then assess your proposed actions in collaboration with the relevant teams.
• Building tools: Create and deliver dashboards, automated reports, calculators and da ...
• What you'll need to succeed:
• Minimum 2 years of experience working in business analysis / data analytics / business intelligence/ consulting or financial modelling roles in e-commerce, tech, consulting or financial services companies.
• Bachelor's Degree or higher from a top university in a business analytics, engineering, statistics, quantitative, data or finance subject (e.g., BI, science, math or financial analysis).
• Ability to communicate fluently in English.
• Familiarity with SQL, Tableau, advanced Excel skills, which you were using on real work projects before.
• Proven track record in using data to measure performance, build reports and tools and make decisions.
• Intellectual curiosity, ability to learn fast.
• Ability to work under pressure in a fast-paced/rapidly changing environment.
• It's Great if you have:
• Experience with complex analytics and statistical/machine learning techniques using R/Python/Spark.
• Experience building automated analytical processes and functionality.
• Master's degree in statistics, operations research, or data science.
• STRA #ANLS #MRKT #3 #LI-TR2 #hongkong #singapore #hcmc #kualalumpur #mumbai #newdelhi #delhi #bangalore #hochiminh #singapore #manila #hongkong #beijing #toronto #vancouver #berlin #paris #barcelona #london #madrid #hyderabad data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Apply your expertise in quantitative analysis, data mining, and the presentation of data to identify opportunities for business improvements and support your recommendations.
• Own end-to-end project or roll out new experiments to validate in-market impact of an initiative within Partner Development.
• Build dashboards, identify new and track key metrics to closely monitor team's performance and identify quick and long term opportunities for improvements.
• Work closely with cross-functional teams of analysts, regional team leads, product managers and business owners to drive changes based on opportunities identified.
• Support global Partner Development related initiatives, including experimentation infrastructure-building and methodology standardization.
• What you'll need to succeed.
• Bachelor's degree in science, computer science, statistics, economics, mathematics, or similar quantitative discipline.
• 3-8 years experience working in a business analysis, data analysis, reporting or business strategy role.
• Excellent problem-solving skills including the ability to analyze and resolve complex problems using data.
• Team player with strong interpersonal, relationship-building, and stakeholder management skills.
• Coding skills for analytics and data manipulation (SQL, R, Python, Pandas, Scala).
• Data visualization tool experience such as with Tableau or your weapon of choice.
• Ability to work under pressure in a fast-paced and rapidly changing environment.
• Excellent communication skills (both verbal and written in English), with proven ability to convey complex messages clearly and with conviction.
• STRA #ANLS #MRKT #3 #LI-TR2 #hongkong #singapore #hcmc #kualalumpur #mumbai #newdelhi #delhi #bangalore #hochiminh #singapore #manila #hongkong #beijing #toronto #vancouver #berlin #paris #barcelona #london #madrid #hyderabad data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Add immediate value and support the organisation during an exciting and dynamic growth phase.
• Support the forecast process in conjunction with key stakeholders, and in collaboration with the rest of the FP&A team.
• Work with the Team Lead to manage a rolling monthly forecast model and provide timely insights into performance against budget/forecast.
• Prepare segments of reports to the Board, Shareholders and Advisers as required and directed from time to time.
• Co-develop incisive analysis and reporting to give insights to business performance and trends, including use of KPIs and OKRs.
• Undertake additional planning and budgeting activities as required.
• Enhance the understanding and key levers of the Agoda business.
• Support the delivery of annual budgets, quarterly guidance, and monthly and weekly forecasts as well as related financial planning & analysis.
• Provide financial analysis (FP&A) & commentary on month-end financials & KPIs.
• What You'll Need to Succeed:
• Minimum 4 years in accounting or related fields, 2 years in FP&A.
• Chartered Accountant qualified: ACA or CIMA, or equivalent.
• Hands on experience of using EPM/BPM systems (planning tools).
• Exceptional Excel and financial modelling skills.
• Ability to take ownership, to work independently and to meet tight deadlines with a logical, methodical approach to prioritising tasks and responsibilities.
• Demonstrable success at developing quality insights for non-finance management teams, ideally gained in an e-commerce company.
• Commercially aware, able to think both analytically and strategically, to think logically about underlying business issues.
• Pro-active in resolving queries and problems and highlighting future potential areas of risk.
• A willingness to get involved in the business to understand the story behind the numbers.
• Digital, ecommerce, travel backgrounds preferable.
• STRA #ANLS #MRKT #3 #LI-TR2 #hongkong #singapore #hcmc #kualalumpur #mumbai #newdelhi #delhi #bangalore #bengaluru #hochiminh #jakarta #manila #hongkong #beijing #toronto #vancouver #berlin #paris #barcelona #london #madrid #bangkok #thailand #greater sao paulo #chennai #paris #dallas #netherlands #kolkata #seatle #warsaw #tokyo data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance metabase analytics shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
• Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
• What you'll Need to Succeed:
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, or science).
• Ability to communicate fluently in English.
• 2+ years' experience in top-tier management consulting, investment banking, private equity, or strategy/business operations for a fast-growing globally operating tech company.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity.
• It's Great if you Have:
• Experience in digital marketing.
• Academic research experience.
• STRA #ANLS #MRKT #3 #LI-TR2 #hongkong #singapore #hcmc #kualalumpur #mumbai #newdelhi #delhi #bangalore #hochiminh #jakarta #manila #hongkong #beijing #toronto #vancouver #berlin #paris #barcelona #london #madrid #bangkok data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Work with stakeholders across different departments in Agoda and our sister company Booking.com.
• Improve operational efficiencies and workflows for Strategic Partnerships team.
• Own of product related issues in Strategic Partnerships, analyze existing data, make recommendations and get buy-ins from Product Team for new product features and/or improvements.
• Be responsible for the quality and integrity of SLA's.
• Maintain an up-to-date knowledge base of technical processes, functions and requirements.
• What you'll Need to Succeed:
• Bachelor degrees in engineering, statistics, science or equivalent degree preferred.
• 1 or 2 years of experience is preferred.
• Strong analytical skills.
• Data driven and detail oriented.
• Good project management skills.
• Good command of English.
• E-commerce or travel industry experience is a plus.
• Able to work with a multi-cultural group of professionals.
• Fast learner with passion to learn about new exciting tools and technologies.
• A passion for finding solutions to hard problems at scale and solve them efficiently.
• It's Great if you have:
• Salesforce experience.
• Familiar with Tableau.
• Programming skills.
• STRA #ANLS #MRKT #3 #LI-TR2 #bangkok #thailand data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner chulalongkorn Mahidol chiang mai
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

เงินเดือน:

สามารถต่อรองได้

• Use and analyse data from multiple large-scale data warehouses and understand data flows across the entire organisation.
• Identify, support, and lead projects aimed at scaling up the way the Supply organisation leverages on data, insights, and intelligence.
• Develop automated infrastructure supporting business intelligence at a global level as well as the analytics processes supporting them.
• Drive new analytical initiatives and projects aimed at improving organisational efficiency.
• What you'll Need to Succeed:
• A hacker's mindset - the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping.
• Bachelor's degree in a quantitative discipline.
• Experience in big data cleaning and wrangling as well as simple analytical processing (SQL is a must).
• Experience with visualisation tools (e.g. Tableau, Grafana, etc.).
• A basic understanding of statistics, computer science, and data, and the ability to implement this understanding in complex business situations.
• It's Great if you have:
• Experience with complex analytics and statistical/machine learning techniques using R/Python/Spark.
• Experience with ETLs in Hadoop ecosystem.
• Master's degree in statistics, operations research, or data science.
• STRA #ANLS #MRKT #3 #LI-TR2 #hongkong #singapore #hcmc #kualalumpur #mumbai #newdelhi #delhi #bangalore #bengaluru #hochiminh #jakarta #manila #hongkong #beijing #toronto #vancouver #berlin #paris #barcelona #london #madrid #bangkok #thailand #greater sao paulo #chennai #paris #dallas #netherlands #kolkata #seatle #warsaw #tokyo data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization data modelling databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.